#fridaywimldspaper نتائج البحث

[#FridayWiMLDSPaper 📜curated by @JulietteBgl] "The Generative AI Paradox: What It Can Create, It May Not Understand" written by @GXiming @nouhadziri @faeze_brh @LINJIEFUN @liweijianglw @lasha_nlp @khyathi_chandu @AllysonEttinger @YejinChoinka and more... arxiv.org/abs/2311.00059

[#FridayWiMLDSPaper 📜curated by @JulietteBgl ] "KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval" written by many wonderful contributors like @suriyagnskr @besanushi and linkedin.com/in/marah-abdin/ arxiv.org/abs/2310.15511

[#FridayWiMLDSPaper 📜curated by @cazencott] "Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model", great paper written by wonderful contributors like @SashaMTL and linkedin.com/in/anne-laure-… arxiv.org/abs/2211.02001

[#FridayWiMLDSPaper 📜curated by @JulietteBgl] "Med-Flamingo: a Multimodal Medical Few-shot Learner", great paper written by wonderful contributors like @qhwang3 and @ShirleyYXWu arxiv.org/abs/2307.15189

[#FridayWiMLDSPaper 📜curated by @JulietteBgl] "A Long Way to Go: Investigating Length Correlations in Reinforcement Learning from Human Feedback (RLHF)", great paper written by wonderful contributors like @tanyaagoyal arxiv.org/abs/2310.03716

[#FridayWiMLDSPaper 📜curated by @bennis_jihane ] "Metrics reloaded: Recommendations for image analysis validation" written by many wonderful contributors like @lena_maierhein, @annika_reinke1 arxiv.org/abs/2206.01653

[#FridayWiMLDSPaper curated by @JulietteBgl] "TokenFlow: Consistent Diffusion Features for Consistent Video Editing"!📽️by @omerbartal @OneViTaDay @talidekel @GeyerMichal : arxiv.org/abs/2307.10373

Happy 14th July ! For this French national event, our weekly #FridayWiMLDSPaper focuses on under representation and sampling Bias

[#FridayWiMLDSPaper curated by @bennis_jihane ] “Simple and Controllable Music Generation” by @jadecopet, @syhw, @itai_gat, @honualx , Tal Remez, David Kant, @FelixKreuk arxiv.org/pdf/2306.05284…

Here is today's #FridayWiMLDSPaper ! "Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice". Congrats @t_kitamura14

[#FridayWiMLDSPaper 📃 curated by @bennis_jihane] « Achieving k-anonymity privacy protection using generalisation and suppression » by @LatanyaSweeney : dataprivacylab.org/dataprivacy/pr…

[#FridayWiMLDSPaper 📜 curated by @MarieSacksick] « Moving Fast with Broken Data - Implementing an Automatic Data Validation System for ML Pipelines » by Shreya Shankar (@sh_reya), Labib Fawaz, Karl Gyllstrom and Aditya G. Parameswaran arxiv.org/pdf/2303.06094…

[#FridayWiMLDSPaper 📜 curated by @MarieSacksick] "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models", by Tyna Eloundou (@ThankYourNiceAI), Sam Manning (@sj_manning), Pamela Mishkin (@ManlikeMishap), and @danielrock arxiv.org/pdf/2303.10130…

If you have ideas of papers, authors, or topics you would like to see in this serie of #FridayWiMLDSPaper, send us a message!

It's our week #200 of #FridayWiMLDSPaper!! We are very proud of this accomplishment, and we would like to thank everyone who participated into it, among them: @bettymoreschini, @MarinaVinyes, @lrnt_chloe, @juliafterwork, @VictoireLouisC, @math_rachel, @ledell, and the team!

[#FridayWiMLDSPaper 📷 curated by @WiMLDS_Paris team] "Sublinear search spaces for shortest path planning in grid and road networks", by Johannes Blum, Stefan Funke, Sabine Storandt link.springer.com/content/pdf/10…

[#FridayWiMLDSPaper 📷 curated by @MarieSacksick] "The Expressive Power of Tuning Only the Norm Layers" by Angeliki Giannou (@AngelikiGiannou), Shashank Rajput (@shashank_r12), and Dimitris Papailiopoulos (@DimitrisPapail). arxiv.org/pdf/2302.07937…

[#FridayWiMLDSPaper 📷 curated by @ncernecka] "Responding to the coronavirus disease-2019 pandemic with innovative data use: The role of data challenges" by Jamie Danemayer, @andryou, @siobhangreen, Lydia Ezenwa and @Klein711. bit.ly/3ZQsqOX

[#FridayWiMLDSPaper 📜 curated by @ncernecka] Everything is below 👇

[#FridayWiMLDSPaper 📜 curated by @WiMLDS_Paris] "Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning" (arxiv.org/pdf/2209.10193…), by @hannahrosekirk, @bertievidgen, @computermacgyve

[#FridayWiMLDSPaper 📜 curated by @MarieSacksick] "The ROOTS Search Tool: Data Transparency for LLMs", by @olapiktus, @christopher, Paulo Villegas, @HugoLaurencon, @ggdupont, @SashaMTL, @YJernite and @annargrs arxiv.org/abs/2302.14035

[#FridayWiMLDSPaper 📜 curated by @WiMLDS_Paris] "Is More Data Better? Re-thinking the Importance of Efficiency in Abusive Language Detection with Transformers-Based Active Learning" (arxiv.org/pdf/2209.10193…), by @hannahrosekirk, @bertievidgen, @computermacgyve

[#FridayWiMLDSPaper 📜curated by @JulietteBgl] "The Generative AI Paradox: What It Can Create, It May Not Understand" written by @GXiming @nouhadziri @faeze_brh @LINJIEFUN @liweijianglw @lasha_nlp @khyathi_chandu @AllysonEttinger @YejinChoinka and more... arxiv.org/abs/2311.00059

[#FridayWiMLDSPaper curated by @bennis_jihane ] “Simple and Controllable Music Generation” by @jadecopet, @syhw, @itai_gat, @honualx , Tal Remez, David Kant, @FelixKreuk arxiv.org/pdf/2306.05284…

[#FridayWiMLDSPaper 📜curated by @cazencott] "Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model", great paper written by wonderful contributors like @SashaMTL and linkedin.com/in/anne-laure-… arxiv.org/abs/2211.02001

[#FridayWiMLDSPaper 📜 curated by @WiMLDS_Paris] We are resuming our friday papers after a break! "Multiverse: Multilingual evidence for #fakenews detection", by Daryna Dementieva (@dementyeva_ds), Mikhail Kuimov (@Sergienovich) and Alexander Panchenko arxiv.org/abs/2211.14279

[#FridayWiMLDSPaper 📜curated by @JulietteBgl] "Med-Flamingo: a Multimodal Medical Few-shot Learner", great paper written by wonderful contributors like @qhwang3 and @ShirleyYXWu arxiv.org/abs/2307.15189

[#FridayWiMLDSPaper 📜curated by @bennis_jihane ] "Metrics reloaded: Recommendations for image analysis validation" written by many wonderful contributors like @lena_maierhein, @annika_reinke1 arxiv.org/abs/2206.01653

[#FridayWiMLDSPaper 📷 curated by @MarieSacksick] "The Expressive Power of Tuning Only the Norm Layers" by Angeliki Giannou (@AngelikiGiannou), Shashank Rajput (@shashank_r12), and Dimitris Papailiopoulos (@DimitrisPapail). arxiv.org/pdf/2302.07937…

[#FridayWiMLDSPaper 📷 curated by @ncernecka] "Responding to the coronavirus disease-2019 pandemic with innovative data use: The role of data challenges" by Jamie Danemayer, @andryou, @siobhangreen, Lydia Ezenwa and @Klein711. bit.ly/3ZQsqOX

[#FridayWiMLDSPaper 📜 curated by @WiMLDS_Paris] "Predicting Successful Memes using Network and Community Structure", by Lilian Weng (@lilianweng) and Filippo Menczer, and Yong-Yeol Ahn (@yy) arxiv.org/abs/1403.6199 #MachineLearning #networks

[#FridayWiMLDSPaper 📜curated by @JulietteBgl] "A Long Way to Go: Investigating Length Correlations in Reinforcement Learning from Human Feedback (RLHF)", great paper written by wonderful contributors like @tanyaagoyal arxiv.org/abs/2310.03716

[#FridayWiMLDSPaper 📜 curated by @ncernecka] "Mapping and Comparing Data Governance Frameworks: A benchmarking exercise to inform global data governance deliberations", by @saramarcucci_, @natsgonzalez, @sverhulst & Elena Wullhorst. arxiv.org/abs/2302.13731

Happy 14th July ! For this French national event, our weekly #FridayWiMLDSPaper focuses on under representation and sampling Bias

[#FridayWiMLDSPaper 📜curated by @JulietteBgl ] "KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval" written by many wonderful contributors like @suriyagnskr @besanushi and linkedin.com/in/marah-abdin/ arxiv.org/abs/2310.15511

[#FridayWiMLDSPaper 📷 curated by @WiMLDS_Paris team] "Sublinear search spaces for shortest path planning in grid and road networks", by Johannes Blum, Stefan Funke, Sabine Storandt link.springer.com/content/pdf/10…

[#FridayWiMLDSPaper 📜 curated by @WiMLDS_Paris] "Provably tuning the ElasticNet across instances" by Maria-Florina Balcan, Mikhail Khodak, Dravyansh Sharma, & Ameet Talwalkar (@atalwalkar), from @CarnegieMellon; presented during the last @NeurIPSConf! arxiv.org/pdf/2207.10199…

[#FridayWiMLDSPaper 📜 curated by @WiMLDS_Paris] "Interpretable Decision Sets: A Joint Framework for Description and Prediction", by Himabindu Lakkaraju (@hima_lakkaraju), Stephen H. Bach (@stevebach), and Leskovec Jure (@jure). ncbi.nlm.nih.gov/pmc/articles/P… #MachineLearning

[#FridayWiMLDSPaper 📜 curated by @MarieSacksick] "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models", by Tyna Eloundou (@ThankYourNiceAI), Sam Manning (@sj_manning), Pamela Mishkin (@ManlikeMishap), and @danielrock arxiv.org/pdf/2303.10130…

[#FridayWiMLDSPaper 📜 curated by @MarieSacksick] « Moving Fast with Broken Data - Implementing an Automatic Data Validation System for ML Pipelines » by Shreya Shankar (@sh_reya), Labib Fawaz, Karl Gyllstrom and Aditya G. Parameswaran arxiv.org/pdf/2303.06094…